基于多孔介质模化的大容量电池储能热管理系统性能分析方法

doi:10.19799/j.cnki.2095-4239.2022.0111

摘要/Abstract

摘要：

良好的热管理设计是保证电池储能装置使用性能及寿命的关键。大容量电池储能装置因电池单体多，内部结构复杂，开展详细的热管理数值分析难度很大。本工作提出了电池模块的多孔介质模化方法，并针对MW级集装箱式大容量电池储能空气冷却热管理系统开展流热耦合数值分析。研究表明，该方法实现了电池舱和电池模块内部流动传热的耦合计算，考虑了其相互影响，能获得更为丰富而准确的热管理系统流动传热特性。各电池模块内的空气流量分配不均，电池舱气流及热量积聚形成的流场、温度场特性，是造成电池模块温度差异的主要原因。本工作提出的研究方法可为大容量集中式电池储能热管理系统的设计和优化提供借鉴。

关键词: 电池储能, 热管理, 多孔介质模化, 流动传热, 数值分析

Abstract:

The thermal management system is a key technology for maintaining the performance and service life of battery energy storage devices. It is difficult to perform a comprehensive numerical analysis of the entire thermal management system due to the numerous battery cells and the complex internal structures of large-capacity battery energy storage devices. This study proposes a porous medium modeling method for battery modules, and a conjugate heat transfer numerical analysis for the air-cooled thermal management system of MW-scale containerized battery energy storage is performed. The research shows that the method can simulate the flow and heat transfer in the battery energy storage cabin and the battery module simultaneously, resulting in more detailed and accurate flow and heat transfer characteristics. The temperature distribution difference between the battery modules and the cells in modules is caused by two main factors. The first is the uneven distribution of airflow in battery modules, while the second is the flow and heat transfer characteristics formed by the airflow and heat accumulation in the battery energy storage cabin. This study's proposed analysis method could provide technical support for the design and optimization of thermal management systems in large-capacity centralized battery energy storage.

Key words: battery energy storage, thermal management system, porous medium modeling, flow and heat transfer, numerical analysis

中图分类号:

TQ 152

李明飞, 饶睦敏, 孙婉妹, 崔树鑫, 陈伟. 基于多孔介质模化的大容量电池储能热管理系统性能分析方法[J]. 储能科学与技术, 2022, 11(8): 2526-2536.

Mingfei LI, Mumin RAO, Wanmei SUN, Shuxin CUI, Wei CHEN. Analysis method based on porous medium modeling for thermal management system of large capacity battery energy storage[J]. Energy Storage Science and Technology, 2022, 11(8): 2526-2536.

图/表 16

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参数	工况1	工况2
电池单体热功率/W	12	29
电池舱进出口压力损失/Pa	255.68	253.72
电池舱出口温度/℃	33.88	46.22

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